316 research outputs found

    Digitization and the Content Industries

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    Dynamics of deception between strangers

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    Watching Over one another in Love: Methodist Superintendents and Oversight in the Church

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    The thesis tests the claim that superintendent ministers in the Methodist Church of Great Britain exercise an effective ministry of personal oversight which is pivotal in the church’s life, and which makes a distinctive contribution to the Christian understanding of episkopĂ©. The thesis describes empirical, exploratory research into the nature, operant practice and understanding of superintendency which was focused on the Newcastle upon Tyne District of the Methodist Church during 2011-2012. Data was gathered by means of triangulated interviews of superintendents, their colleagues, and the lay leaders of circuits, the circuit stewards. Using the model of ‘Theology in Four Voices’ developed by Heythrop College’s Action Research: Church and Society Project, the thesis captures the conversation between the espoused understandings of ‘ordinary theologians’, the operant theology disclosed in practice, and the normative theology of the Methodist Conference, focusing on the 2005 statement What is a Circuit Superintendent? The thesis argues that the role of the superintendent minister has enduring value in the Methodist Church of Great Britain only insofar as the superintendent inculcates a connexionalism in the local circuit which includes inclusive, empowering and participatory leadership of everyone in the life of the church; which exercises personal oversight in both collegial and communal contexts; and which permits devolved episkopĂ© to colleagues who are trained and trusted to lead local churches

    Your Ad Here: The Cool Sell of Guerrilla Marketing

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    This dissertation examines the development of guerrilla marketing strategies and techniques. At the dawn of the 21st century, as the traditional advertising model evolves thanks to changes in technology, markets, commercial clutter, and audience cynicism, marketers are increasingly exploring new and re-imagining old ways of communicating brand messages and managing consumers. By studying the practice of guerrilla marketing – the umbrella term here for an assortment of product placement, outdoor alternative-ambient, word-of-mouth, and consumer-generated approaches – we can better understand an emergent media environment where cultural producers like advertisers strategize and experiment with the dissemination of information and the application of persuasion through covert and outsourced flows. Their creative license is remarkable not only in terms of content but equally that of context: expansively reconfiguring the space typically partitioned for commercial petition. As befitting a public relations mindset, the guerrilla message they seek to seed travels bottom-up, through invisible relay, or from decentralized corners so as to subtly engage audiences in seemingly serendipitous ways. Through a close examination of emblematic campaign examples, trade press coverage, and in-depth interviews with prominent practitioners, this project peels back the curtain on a form of cultural production that reworks the conventional archetype of mass communication and rethinks how consumers might be managed. Drawing upon Foucauldian theory that conceptualizes an active subject rather than a form of domination that has often defined the use of power, I argue that this is a regime of casual, if not “invisible” consumer governance that accommodates yet structures participatory agency; self-effaces its own authority and intent through disinterested spaces and anti-establishment formats; opens up the brand-text as a more flexible form; and democratizes in favor of heterarchical collaboration. It is, in short, advertising that tries not to seem like advertising. By studying the inspirations, machinations, and designs behind these campaigns to uncover and map the institutional discourse and cultural logic at work, I identify and analyze common themes of power and practice that animate otherwise disparate advertising executions and help redefine media industries

    Becoming collaborative: enhancing the understanding of intra-organisational relational dynamics

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    Managing the delivery of highway maintenance and management is complex. A multi-faceted and highly reactive service provision requires the coordination of an interconnected web of intra-organisational inputs. Collaborative approaches for the management of such complexity has attracted a great deal of research attention over the years but there remains a lack of research examining collaboration “in flight”. In Construction Management Research (CMR) studies orientate toward antecedents and processes for the application of a collaborative approach. Practically, contracts are used to govern these works, to coordinate expectations, and to structure relationships, with most of the work procured under transactional, non-collaborative and financially punitive forms of contract, which makes the enactment of collaborative working practices even more challenging. To investigate how collaborative approaches to service delivery might improve performance, this study examines the conditions that render collaboration operable when deployed within non-collaborative delivery frameworks. To aid this understanding the theoretical lens of institutionalisation, a theory underutilised in CMR, is used to unravel the multiplicity of factors acting to both support and erode collaborative working practice as observed at the micro level. Typically, institutional theorists examine micro and macro elements separately. Through a longitudinal case study consisting of four and a half years of participant observation, this study adopts an approach to examine micro-practices of collaborative behaviour to reveal how collaboration plays out in practice, leading to an understanding of how collaboration is shaped by macro-institutional logics. Through the lens of institutionalisation this study supports a reconceptualisation of collaboration, not as an exceptional event, but as an ongoing journey of accomplishment. This work follows the observations of three improvement initiatives designed to enhance collaborative working for the purposes of service improvement.Early findings revealed formalised collaborative efforts improved performance but benefits realised remained localised. Bringing people together to collectively work through an isolated issue did not automatically lead to more or better collaboration. Pockets of collaborative efforts were found to be unsupported by wider governance mechanisms leading to short term interventions, unsustainable over time. Using institutionalisation to make sense of the observations revealed tensions between regulatory and cognitive/normative institutional logics; tensions that were observed to impact negatively on service delivery, particularly given the non-relational contractual arrangements employed to procure and govern service provision. For example, cognitive logics to engage in collaborative solutions were overshadowed by logics that put commercial needs front and centre. Contrary to the dominant discourse in CMR that describes how collaborative interventions can be applied to positively impact project performance, this research reveals the need for sustained collaborative effort. Whilst other work in the field deterministically positions relationships (collaborative or otherwise) as a product of contractual arrangements, findings here suggest collaborative behaviours can thrive in unfavourable contract mechanisms. As such, this work proposes a framework for an alternative approach to supporting collaboration that addresses the failure to recognise conflicting logics, understand why conflict arises and effectively manage the consequences, particularly in adversarial environments.</div

    Elicitation and Aggregation of Crowd Information

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    This thesis addresses challenges in elicitation and aggregation of crowd information for settings where an information collector, called center, has a limited knowledge about information providers, called agents. Each agent is assumed to have noisy private information that brings a high information gain to the center when it is aggregated with the private information of other agents. We address two particular issues in eliciting crowd information: 1) how to incentivize agents to participate and provide accurate data; 2) how to aggregate crowd information so that the negative impact of agents who provide low quality information is bounded. We examine three different information elicitation settings. In the first elicitation setting, agents report their observations regarding a single phenomenon that represents an abstraction of a crowdsourcing task. The center itself does not observe the phenomenon, so it rewards agents by comparing their reports. Clearly, a rational agent bases her reporting strategy on what she believes about other agents, called peers. We prove that, in general, no payment mechanism can achieve strict properness (i.e., adopt truthful reporting as a strict equilibrium strategy) if agents only report their observations, even if they share a common belief system. This motivates the use of payment mechanisms that are based on an additional report. We show that a general payment mechanism cannot have a simple structure, often adopted by prior work, and that in the limit case, when observations can take real values, agents are constrained to share a common belief system. Furthermore, we develop several payment mechanisms for the elicitation of non-binary observations. In the second elicitation setting, a group of agents observes multiple a priori similar phenomena. Due to the a priori similarity condition, the setting represents a refinement of the former setting and enables one to achieve stronger incentive properties without requiring additional reports or constraining agents to share a common belief system. We extend the existing mechanisms to allow non-binary observations by constructing strongly truthful mechanisms (i.e., mechanisms in which truthful reporting is the highest-paying equilibrium) for different types of agents' population. In the third elicitation setting, agents observe a time evolving phenomenon, and a few of them, whose identity is known, are trusted to report truthful observations. The existence of trusted agents makes this setting much more stringent than the previous ones. We show that, in the context of online information aggregation, one can not only incentivize agents to provide informative reports, but also limit the effectiveness of malicious agents who deliberately misreport. To do so, we construct a reputation system that puts a bound on the negative impact that any misreporting strategy can have on the learned aggregate. Finally, we experimentally verify the effectiveness of novel elicitation mechanisms in community sensing simulation testbeds and a peer grading experiment

    Incentive-driven QoS in peer-to-peer overlays

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    A well known problem in peer-to-peer overlays is that no single entity has control over the software, hardware and configuration of peers. Thus, each peer can selfishly adapt its behaviour to maximise its benefit from the overlay. This thesis is concerned with the modelling and design of incentive mechanisms for QoS-overlays: resource allocation protocols that provide strategic peers with participation incentives, while at the same time optimising the performance of the peer-to-peer distribution overlay. The contributions of this thesis are as follows. First, we present PledgeRoute, a novel contribution accounting system that can be used, along with a set of reciprocity policies, as an incentive mechanism to encourage peers to contribute resources even when users are not actively consuming overlay services. This mechanism uses a decentralised credit network, is resilient to sybil attacks, and allows peers to achieve time and space deferred contribution reciprocity. Then, we present a novel, QoS-aware resource allocation model based on Vickrey auctions that uses PledgeRoute as a substrate. It acts as an incentive mechanism by providing efficient overlay construction, while at the same time allocating increasing service quality to those peers that contribute more to the network. The model is then applied to lagsensitive chunk swarming, and some of its properties are explored for different peer delay distributions. When considering QoS overlays deployed over the best-effort Internet, the quality received by a client cannot be adjudicated completely to either its serving peer or the intervening network between them. By drawing parallels between this situation and well-known hidden action situations in microeconomics, we propose a novel scheme to ensure adherence to advertised QoS levels. We then apply it to delay-sensitive chunk distribution overlays and present the optimal contract payments required, along with a method for QoS contract enforcement through reciprocative strategies. We also present a probabilistic model for application-layer delay as a function of the prevailing network conditions. Finally, we address the incentives of managed overlays, and the prediction of their behaviour. We propose two novel models of multihoming managed overlay incentives in which overlays can freely allocate their traffic flows between different ISPs. One is obtained by optimising an overlay utility function with desired properties, while the other is designed for data-driven least-squares fitting of the cross elasticity of demand. This last model is then used to solve for ISP profit maximisation

    Trust-based social mechanism to counter deceptive behaviour

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    The actions of an autonomous agent are driven by its individual goals and its knowledge and beliefs about its environment. As agents can be assumed to be selfinterested, they strive to achieve their own interests and therefore their behaviour can sometimes be difficult to predict. However, some behaviour trends can be observed and used to predict the future behaviour of agents, based on their past behaviour. This is useful for agents to minimise the uncertainty of interactions and ensure more successful transactions. Furthermore, uncertainty can originate from malicious behaviour, in the form of collusion, for example. Agents need to be able to cope with this to maximise their benefits and reduce poor interactions with collusive agents. This thesis provides a mechanism to support countering deceptive behaviour by enabling agents to model their agent environment, as well as their trust in the agents they interact with, while using the data they already gather during routine agent interactions. As agents interact with one another to achieve the goals they cannot achieve alone, they gather information for modelling the trust and reputation of interaction partners. The main aim of our trust and reputation model is to enable agents to select the most trustworthy partners to ensure successful transactions, while gathering a rich set of interaction and recommendation information. This rich set of information can be used for modelling the agents' social networks. Decentralised systems allow agents to control and manage their own actions, but this suffers from limiting the agents' view to only local interactions. However, the representation of the social networks helps extend an agent's view and thus extract valuable information from its environment. This thesis presents how agents can build such a model of their agent networks and use it to extract information for analysis on the issue of collusion detection.EThOS - Electronic Theses Online ServiceUniversity of Warwick. Dept. of Computer ScienceGBUnited Kingdo

    Manager’s and citizen’s perspective of positive and negative risks for small probabilities

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    So far „risk‟ has been mostly defined as the expected value of a loss, mathematically PL, being P the probability of an adverse event and L the loss incurred as a consequence of the event. The so called risk matrix is based on this definition. Also for favorable events one usually refers to the expected gain PG, being G the gain incurred as a consequence of the positive event. These “measures” are generally violated in practice. The case of insurances (on the side of losses, negative risk) and the case of lotteries (on the side of gains, positive risk) are the most obvious. In these cases a single person is available to pay a higher price than that stated by the mathematical expected value, according to (more or less theoretically justified) measures. The higher the risk, the higher the unfair accepted price. The definition of risk as expected value is justified in a long term “manager‟s” perspective, in which it is conceivable to distribute the effects of an adverse event on a large number of subjects or a large number of recurrences. In other words, this definition is mostly justified on frequentist terms. Moreover, according to this definition, in two extreme situations (high-probability/low-consequence and low-probability/high-consequence), the estimated risk is low. This logic is against the principles of sustainability and continuous improvement, which should impose instead both a continuous search for lower probabilities of adverse events (higher and higher reliability) and a continuous search for lower impact of adverse events (in accordance with the fail-safe principle). In this work a different definition of risk is proposed, which stems from the idea of safeguard: (1Risk)=(1P)(1L). According to this definition, the risk levels can be considered low only when both the probability of the adverse event and the loss are small. Such perspective, in which the calculation of safeguard is privileged to the calculation of risk, would possibly avoid exposing the Society to catastrophic consequences, sometimes due to wrong or oversimplified use of probabilistic models. Therefore, it can be seen as the citizen‟s perspective to the definition of risk
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